Heterogeneous effect of high-tech industrial R&amp;D spending on economic growth

Wang, David Han-Min; Yu, Tiffany Hui‐Kuang; Liu, Hongquan

doi:10.1016/j.jbusres.2013.02.023

Cited by 52 publications

(29 citation statements)

References 23 publications

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“…Because quantile regression simultaneously estimates multiple rates of change, this method can depict a more complete picture of relationships between variables than OLS regression method does (Koenker & Bassett, 1978). Wang, Yu, and Liu (2013), Yu (2011), andWu (2015) apply quantile regressions to provide better analysis results for R&D spending, ICT adoption, and health expenditure.…”

Section: Methodsmentioning

confidence: 99%

The effects of corporate social responsibility on brand equity and firm performance

Wang

Chen

et al. 2015

Journal of Business Research

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127

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Section: Methodsmentioning

confidence: 99%

The effects of corporate social responsibility on brand equity and firm performance

Wang

Chen

et al. 2015

Journal of Business Research

Self Cite

200

127

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“…Hence, Research and Development investment increases the probability of satisfying a higher standard of technology in firms and regions, which would allow them to introduce new and superior products and/or processes, resulting in higher levels of income and growth (Bayarçelik and Taşel, 2007). On the other hand studies, which are analyzing the relationship between R&D and economic growth, found that there is a strong positive relation among R&D and economic growth (Inekwe, 2014;Gocer, 2013;Wang, et al 2013;Gülmez, 2012). As well Güloğlu and his colleagues (2012) investigate the causality relation between R&D expenditure, innovation and economic development in 13 high-income OECD economies.…”

Section: Research and Development (Randd)mentioning

confidence: 99%

Innovation Factors in Service Industry and Knowledge Based Economy

Bayarçelik¹,

Taşel

Apak

2016

Pressacademia

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Innovation has become one of the most important driver of today's service industry, which plays a key role in knowledge-based economy. In literature generally researches have been emphasized on innovation determinants on manufacturing industry and less concentration on service innovation factors. So this study aims to find out innovation decision factors in service industry by using DEMATEL method. The method was used to analyze the causal relationships and prioritize the importance of innovation factors in logistics industry by applying questionnaire to logistics professionals. Research findings show that research and development is the most important criteria for logistics industry, which also affects knowledge-based economy.

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“…Innovative initiatives, especially R&D activities, are the important parts of productivity growth (Griliches, 1981;Sadeghi, Azar, & Sepehri Rad, 2012;Stokey, 1995;Wang & Wu, 2012;Wang, Yu, & Liu, 2013) and since the mid-1990s -at the same time as the information technology revolution -high-tech industries have been playing a significant role in economic development (Griliches & Mairesse, 1984;Lichtenberg, 1992;Nadiri, 1993;Ortega-Argilés, Piva, Potters, & Vivarelli, 2010;Tsai & Wang, 2004;Wang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran

Nezhad

Zolfani

Moztarzadeh

et al. 2015

Economic Research-Ekonomska Istraživanja

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Decision-making and planning at the top level is highly complicated. One important duty of each government and of policy makers is planning at different levels for future problems. This research addresses such a concern. Planning for the future is the aim of this research. Moreover, the importance of the topic is discussed. The case study focused on is the nanotechnology industry and its development in Iran. Nanotechnology is one of the main and strategic industries in Iran. The important criteria for such a development are determined based on a literature review and the experiences from other countries. The different alternatives are selected based on the different applications of nanotechnology in other industries. The alternatives are: agriculture, transportation, construction, oil and gas, textile products, food industry, defence industry, health and medicine, nano electronics, nano energy and environment and water. The methodology employed is Multiple Criteria Decision Making (MCDM). In addition, SWARA-WASPAS is the hybrid MADM model employed in which SWARA is applied to evaluate the criteria and WASPAS is utilised to evaluate and rank the alternatives.

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Heterogeneous effect of high-tech industrial R&D spending on economic growth

Cited by 52 publications

References 23 publications

The effects of corporate social responsibility on brand equity and firm performance

The effects of corporate social responsibility on brand equity and firm performance

Innovation Factors in Service Industry and Knowledge Based Economy

Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran

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